8. OpenAI Responses Target

8. OpenAI Responses Target#

In this demo, we show an example of the OpenAIResponseTarget. Responses is a newer protocol than chat completions and provides additional functionality with a somewhat modified API. The allowed input types include text, image, web search, file search, functions, reasoning, and computer use.

Before you begin, ensure you are set up with the correct version of PyRIT installed and have secrets configured as described here.

OpenAI Configuration#

Like most targets, all OpenAITargets need an endpoint and often also needs a model and a key. These can be passed into the constructor or configured with environment variables (or in .env).

  • endpoint: The API endpoint (OPENAI_RESPONSES_ENDPOINT environment variable). For OpenAI, these are just “https://api.openai.com/v1/responses”.

  • auth: The API key for authentication (OPENAI_RESPONSES_KEY environment variable).

  • model_name: The model to use (OPENAI_RESPONSES_MODEL environment variable). For OpenAI, these are any available model name and are listed here: “https://platform.openai.com/docs/models”.

from pyrit.common import IN_MEMORY, initialize_pyrit
from pyrit.orchestrator import PromptSendingOrchestrator
from pyrit.prompt_target import OpenAIResponseTarget

initialize_pyrit(memory_db_type=IN_MEMORY)

target = OpenAIResponseTarget()

orchestrator = PromptSendingOrchestrator(objective_target=target)

response = await orchestrator.run_attack_async(objective="Tell me a joke")  # type: ignore
await response.print_conversation_async()  # type: ignore

The orchestrator with objective: Tell me a joke has ended with status: unknown
user:
Converted value: Tell me a joke
assistant: Why don’t scientists trust atoms?  
Because they make up everything!
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